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Internet of Things (IoT) in a nutshell
The document provides a comprehensive overview of the Internet of Things (IoT), highlighting its definition, characteristics, and various applications across smart cities, environments, water management, security, retail, and agriculture. It emphasizes the importance of big data analytics in the IoT ecosystem and outlines challenges such as interoperability and privacy. Additionally, it discusses the significance of designing smart services and evaluating their feasibility within different domains.
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Internet of Things (IoT) in a nutshell
- 1. IoT in anutshell 1 Dr. Jose María Alvarez Rodríguez Business Applications of Big data Analytics MASTER IN BIG DATA ANALYTICS Universidad Carlos III de Madrid 1st of March, 2018
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- 9. Real IoT usecase 9http://reports.weforum.org/digital-transformation/michelin-solutions/
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- 12. Alexa ordering thousandsof doll houses! 12
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- 14. 14 What is IoT(Internet of Things?
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- 17. What IoT isabout? 17 People & Added-value Connectivity Hardware Software & Data Sensing computing
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- 19. 4th Industrial Revolution& CPS 19 https://www.youtube.com/watch?v=kpW9JcWxKq0
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- 21. Definition “IoT is adynamic global network infrastructure with self-configuring capabilities based on standard and interoperable communication protocols where physical and virtual ‘Things’ have identities, physical attributes, and virtual personalities and use intelligent interfaces, and are seamlessly integrated into the information network.”
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- 25. How It Works:Internet of Things https://www.youtube.com/watch?v=QSIPNhOiMoE
- 26. IoT Reference Architecture(Intel) https://www.intel.es/content/www/es/es/internet-of-things/white-papers/iot-platform-reference-architecture- paper.html
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- 29. 5G for EuropeAction Plan https://ec.europa.eu/digital-single-market/en/5g-europe-action-plan
- 30. Smart Cities ECinitiative https://smartcities-infosystem.eu/
- 31. IoT & BigData https://www.sas.com/en_hk/insights/articles/big-data/big-data-and-iot-two-sides-of-the-same-coin.html https://www.sciencedirect.com/science/article/pii/S1389128617302591 Big data and the Internet of Things: Two sides of the same coin?
- 32. Big Data orIoT process Acquisition • Cleansing Integration Analysis Reporting Exploitation • Visualization • API Feedback
- 33. Open challenges Reference architecture &Infrastructure • Use cases, vocabulary, etc. Data management plan • Provenance, management, etc. Big data approach • Storage • Processing • Analysis • Visualization Data sources • Provenance • Sensors • Etc. Integration & APIs • Formats and communication protocols • Mobility Security & Privacy Financing & Legal framework Any* • Anytime, Anything, Any Device, Any Context, Any Place, Anywhere, Any one 33
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- 35. 35http://www.libelium.com/resources/top_50_iot_sensor_applications_ranking (see descriptionin the following slides)
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- 37. Smart City: Applications SmartParking •Monitoring of parking spaces availability in the city. Structural health •Monitoring of vibrations and material conditions in buildings, bridges and historical monuments. Noise Urban Maps •Sound monitoring in bar areas and centric zones in real time. Smartphone Detection •Detect iPhone and Android devices and in general any device which works with WiFi or Bluetooth interfaces. Eletromagnetic Field Levels •Measurement of the energy radiated by cell stations and and WiFi routers. Traffic Congestion •Monitoring of vehicles and pedestrian levels to optimize driving and walking routes. Smart Lighting •Intelligent and weather adaptive lighting in street lights. Waste Management •Detection of rubbish levels in containers to optimize the trash collection routes. Smart Roads •Intelligent Highways with warning messages and diversions according to climate conditions and unexpected events like accidents or traffic jams. 37
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- 39. Smart Environment: Applications ForestFire Detection • Monitoring of combustion gases and preemptive fire conditions to define alert zones. Air Pollution • Control of CO2 emissions of factories, pollution emitted by cars and toxic gases generated in farms. Snow Level Monitoring • Snow level measurement to know in real time the quality of ski tracks and allow security corps avalanche prevention. Landslide and Avalanche Prevention • Monitoring of soil moisture, vibrations and earth density to detect dangerous patterns in land conditions. Earthquake Early Detection • Distributed control in specific places of tremors. 39
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- 41. Smart Water: Applications Potablewater monitoring • Monitor the quality of tap water in cities. Chemical leakage detection in rivers • Detect leakages and wastes of factories in rivers. Swimming pool remote measurement • Control remotely the swimming pool conditions. Pollution levels in the sea • Control realtime leakages and wastes in the sea. Water Leakages • Detection of liquid presence outside tanks and pressure variations along pipes. River Floods • Monitoring of water level variations in rivers, dams and reservoirs. 41
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- 43. Smart Metering: Applications SmartGrid • Energy consumption monitoring and management. Tank level • Monitoring of water, oil and gas levels in storage tanks and cisterns. Photovoltaic Installations • Monitoring and optimization of performance in solar energy plants. Water Flow • Measurement of water pressure in water transportation systems. Silos Stock Calculation • Measurement of emptiness level and weight of the goods. 43
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- 45. Security & Emergency:Applications Perimeter Access Control • Access control to restricted areas and detection of people in non- authorized areas. Liquid Presence • Liquid detection in data centers, warehouses and sensitive building grounds to prevent break downs and corrosion. Radiation Levels • Distributed measurement of radiation levels in nuclear power stations surroundings to generate leakage alerts. Explosive and Hazardous Gases • Detection of gas levels and leakages in industrial environments, surroundings of chemical factories and inside mines. 45
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- 47. Retail: Applications Supply ChainControl • Monitoring of storage conditions along the supply chain and product tracking for traceability purposes. NFC Payment • Payment processing based in location or activity duration for public transport, gyms, theme parks, etc. Intelligent Shopping Applications • Getting advices in the point of sale according to customer habits, preferences, presence of allergic components for them or expiring dates. Smart Product Management • Control of rotation of products in shelves and warehouses to automate restocking processes. 47
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- 49. Logistics: Applications Quality ofShipment Conditions • Monitoring of vibrations, strokes, container openings or cold chain maintenance for insurance purposes. Item Location • Search of individual items in big surfaces like warehouses or harbours. Storage Incompatibility Detection • Warning emission on containers storing inflammable goods closed to others containing explosive material. Fleet Tracking • Control of routes followed for delicate goods like medical drugs, jewels or dangerous merchandises. 49
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- 51. Industrial Control: Applications M2MApplications • Machine auto-diagnosis and assets control. Indoor Air Quality • Monitoring of toxic gas and oxygen levels inside chemical plants to ensure workers and goods safety. Temperature Monitoring • Control of temperature inside industrial and medical fridges with sensitive merchandise. Ozone Presence • Monitoring of ozone levels during the drying meat process in food factories. Indoor Location • Asset indoor location by using active (ZigBee) and passive tags (RFID/NFC). Vehicle Auto-diagnosis • Information collection from CanBus to send real time alarms to emergencies or provide advice to drivers. 51
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- 53. Smart Agriculture: Applications WineQuality Enhancing • Monitoring soil moisture and trunk diameter in vineyards to control the amount of sugar in grapes and grapevine health. Green Houses • Control micro-climate conditions to maximize the production of fruits and vegetables and its quality. Golf Courses • Selective irrigation in dry zones to reduce the water resources required in the green. Meteorological Station Network • Study of weather conditions in fields to forecast ice formation, rain, drought, snow or wind changes. Compost • Control of humidity and temperature levels in alfalfa, hay, straw, etc. to prevent fungus and other microbial contaminants. 53
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- 55. Smart Farming: Applications Hydroponics •Control the exact conditions of plants grown in water to get the highest efficiency crops. Offspring Care • Control of growing conditions of the offspring in animal farms to ensure its survival and health. Animal Tracking • Location and identification of animals grazing in open pastures or location in big stables. Toxic Gas Levels • Study of ventilation and air quality in farms and detection of harmful gases from excrements. 55
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- 57. Smart Building/Home: Applications Energyand Water Use • Energy and water supply consumption monitoring to obtain advice on how to save cost and resources. Remote Control Appliances • Switching on and off remotely appliances to avoid accidents and save energy. Intrusion Detection Systems • Detection of windows and doors openings and violations to prevent intruders. Art and Goods Preservation • Monitoring of conditions inside museums and art warehouses. 57
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- 59. Smart Health: Applications FallDetection • Assistance for elderly or disabled people living independent. Medical Fridges • Control of conditions inside freezers storing vaccines, medicines and organic elements. Sportsmen Care • Vital signs monitoring in high performance centers and fields. Patients Surveillance • Monitoring of conditions of patients inside hospitals and in old people's home. Ultraviolet Radiation • Measurement of UV sun rays to warn people not to be exposed in certain hours. 59
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- 62. Platforms and ecosystems IBMIoT Watson PTC ThingWorx Siemens T-Systems … 62
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- 64. Some “no” advantages… InteroperabilityComplexity Privacy & Security Safety Reference architecture Data lifecycle management … 64
- 65. 65 IoT is about People &added-value services Technology, again, as a mean not an end
- 66. 66 Task: Design your “smart”service
- 67. Rules Create groups •4-5 people Define a business objective Stakeholders &Value Draw the environment Outline a data management plan Evaluate your proposal 67 http://reports.weforum.org/digital-transformation/go-to-the-case-studies/ http://iotservicekit.com/